K. Ghousiya Begum

About

Dr. K. Ghousiya Begum received a PhD in Enhancement of PID Tuning Methods for Unstable Systems from NIT, Tiruchirappalli, India in 2018. Since completing her doctoral research, she has continued her research interests in Control Systems, Process Control, Optimization, Artificial Intelligence in Healthcare, ML/DL, Cognitive Neuroscience, and Biomedical Engineering. Her article in APJC has been recognized as the "Top Most Cited Article" by Wiley Publishers, 2024. Her idea was selected under the Tomato Grand Challenge project scheme funded by the Ministry of Education's Innovation Cell, 2023-24 and received a grant for developing a prototype model along with a cash prize award. Also, she is a reviewer for various reputed journals including Elsevier, Springer.

Employment

• SASTRA University Asisstant Professor
  2019 - Present
• SRMIST, Kattankulthur Campus Assistant Professor
  2018 - 2019
• M.A.M. College of Engineering Assistant Professor
  2011 - 2018
• KNS Institute of Technology Lecturer
  2009 - 2009
• M.A.M.College of Engineering Lecturer
  2005 - 2008

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (43)

• Artificial Intelligence–Based Characterisation of Eco‐Friendly <scp>TiO2</scp>‐Based Nanofluid Blended With Moringa oleifera Oil
  Lubrication Science 2025 DOI: 10.1002/ls.1733
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• Prediction of effective parameters for 3D printing of poly lactic acid-carbon fibre composites using intelligent frameworks based on mechanical response
  Pigment & Resin Technology 2025 DOI: 10.1108/prt-01-2024-0005
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• Neuro-signaling techniques in advertisement endorsements: Unveiling consumer responses and behavioral trends
  Journal of Retailing and Consumer Services 2025 DOI: 10.1016/j.jretconser.2024.104175
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• An Explainable Machine Learning (XAI) framework for classification of intricate dancing posture among Indian Bharatanatyam dancers
  Applied Soft Computing 2025 DOI: 10.1016/j.asoc.2025.112817
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• Comparison and Implementation of Soft Computing Techniques to Control the Temperature of the CSTR Process
  Springer Proceedings in Mathematics & Statistics 2025 DOI: 10.1007/978-3-031-84513-0_32
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• Leg postural identification framework based on one-dimensional force data using machine learning models
  Intelligent Computing Techniques in Biomedical Imaging 2025 DOI: 10.1016/b978-0-443-15999-2.00018-9
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• Experimental and Numerical Computation of Delamination Factor of Hybrid Composite Laminates using Soft Computing Technique
  Archives of Metallurgy and Materials 2025
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• Artificial intelligent-based analysis of VCR engine with biodiesel blends and modelling using uncertainty techniques
  Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 2024 DOI: 10.1177/09544089241256747
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• Analysis of Covid-19 Second Wave in India and Prediction Using Machine Learning Models
  Security and Risk Analysis for Intelligent Cloud Computing 2024
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• Repetitive Controller Design for Coriolis Mass Flow Meter Using B-Spline Filters
  2023 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE) 2023 DOI: 10.1109/rasse60029.2023.10363490
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